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This dataset is a component of a complete package of products from the Connect the Connecticut project. Connect the Connecticut is a collaborative effort to identify shared priorities for conserving the Connecticut River Watershed for future generations, considering the value of fish and wildlife species and the natural ecosystems they inhabit. Click here to download the full data package, including all documentation.This dataset depicts the potential capability of the landscape throughout the CT River Watershed to provide habitat for Eastern Meadowlark (Sturnella magna) based on environmental conditions existing in approximately 2010. Landscape capability integrates factors influencing climate suitability, habitat...
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This dataset is a component of a complete package of products from the Connect the Connecticut project. Connect the Connecticut is a collaborative effort to identify shared priorities for conserving the Connecticut River Watershed for future generations, considering the value of fish and wildlife species and the natural ecosystems they inhabit. Click here to download the full data package, including all documentation. This dataset depicts the potential capability of the landscape throughout the Connecticut River Watershed to provide habitat for Ruffed Grouse (Bonasa umbellus) based on environmental conditions existing in approximately 2010. Landscape capability integrates factors influencing climate suitability,...
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Northeast Region Marsh Migration is one of a suite of products from the Nature’s Network project. Based on sea level rise (SLR) analysis by NOAA, this dataset depicts potential marsh migration zones at various sea level rise scenarios from 0-6’. Identification of suitable uplands adjacent to tidal wetlands is based on topography, habitat type, land use, and development, and can be used for facilitating marsh migration through land protection and/or management. The NOAA Coastal Change Analysis Program (CCAP) mapped the initial (current) distribution of potential marshes and and other coastal land cover types. The Detailed Method for Mapping Sea Level Rise Marsh Migration provides the full methodology for the data...
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This dataset was last updated 02/2017. This version includes a new tidal restrictions metric that assesses the effect of undersized culverts and bridges on tidal regime.The previous version (3.1) was updated on 05/2016 by incorporating a revised version of the land cover classification, DSLland Version 3.1, developed by UMass, which included the addition of The Nature Conservancy’s Northeast lakes and ponds classification. This dataset depicts the ecological integrity of locations (represented by 30 m grid cells) throughout the northeastern United States based on environmental conditions existing in approximately 2010. Ecological integrity is defined as the ability of an area (e.g., local site or landscape) to...
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The capacity of ecosystems to provide services such as carbon storage, clean water, and forest products is determined not only by variations in ecosystem properties across landscapes, but also by ecosystem dynamics over time. ForWarn is a system developed by the U.S. Forest Service to monitor vegetation change using satellite imagery for the continental United States. It provides near real-time change maps that are updated every eight days, and summaries of these data also provide long-term change maps from 2000 to the present. Based on the detection of change in vegetation productivity, the ForWarn system monitors the effects of disturbances such as wildfires, insects, diseases, drought, and other effects of weather,...
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WaSSI (Water Supply Stress Index) predicts how climate, land cover, and human population change may impact water availability and carbon sequestration at the watershed level (about the size of a county) across the lower 48 United States. WaSSI users can select and adjust temperature, precipitation, land cover, and water use factors to simulate change scenarios for any timeframe from 1961 through the year 2100. Simulation results are available as downloadable maps, graphs, and data files that users can apply to their unique information and project needs. WaSSI generates useful information for natural resource planners and managers who must make informed decisions about water supplies and related ecosystem services...
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Systematic conservation planning is well suited to address the many large-scale biodiversity conservation challenges facing the Appalachian region. However, broad, well-connected landscapes will be required to sustain many of the natural resources important to this area into the future. If these landscapes are to be resilient to impending change, it will likely require an orchestrated and collaborative effort reaching across jurisdictional and political boundaries. The first step in realizing this vision is prioritizing discrete places and actions that hold the greatest promise for the protection of biodiversity. Five conservation design elements covering many critical ecological processes and patterns across the...
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This data set provides industrial-scale onshore wind turbine locations, corresponding facility information, and turbine technical specifications, in the United States to March 2014. The database has nearly 49,000 wind turbine records that have been collected, digitized, locationally verified, and internally quality assured and quality controlled. Turbines from the Federal Aviation Administration Digital Obstacle File, product date March 2, 2014, were used as the primary source of turbine data points. Verification of the position of turbines was done by visual interpretation using high-resolution aerial imagery in ESRI ArcGIS Desktop. Turbines without Federal Aviation Administration Obstacle Repository System (FAA...
Categories: Data; Types: ArcGIS REST Map Service, Citation, Map Service; Tags: Alabama, Alaska, Arizona, Arkansas, California, All tags...
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This three-band, 30-m resolution raster contains sagebrush vegetation types, soil temperature/moisture regime classes, and large fire frequencies across greater sage-grouse population areas within the Columbia Basin sage-grouse management zone. Sagebrush vegetation types were defined by grouping together similar vegetation types from the LANDFIRE biophysical settings layer. Soil moisture and temperature regimes were from an USDA-NRCS analysis of soil types across the greater sage-grouse range. Fire frequencies were derived from fire severity rasters created by the Monitoring Trends in Burn Severity program. The area of analysis included the greater sage-grouse populations areas within specific management zones....
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These layers show land ownership and status of all Canadian and U.S. lands that fall within the boundaries of the Great Northern Landscae Conservation Cooperative. Layers were compiled from various sources, each with it’s own metadata reference file.
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Contours generated from 10m National Elevation Dataset and clipped to the boundary of Modoc National Wildlife Refuge.
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Data were collected by the River Studies Program, Texas Parks and Wildlife Department. River Studies is an interdisciplinary river and stream assessment program. Its primary goal is to assure sufficient quantity and quality of water to maintain the natural biodiversity of aquatic ecosystems and their associated wetlands and riparian lands. The program staff works to characterize aquatic ecosystems, evaluate impacts to those systems, and determine water quantity and quality needs to address policy and regulatory issues. Results from long-term projects provide data from large geographic areas to address broad-scale policy and regulatory issues. Aquatic biological samples (fish, mussels, and benthic macroinvertebrates)...
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Metadata specific to this state's data is not available. The MARIS Master metadata record can be accessed to help provide general data descriptions and guidance to users. MARIS is an internet-based information sharing network that allows multiple states to provide a common set of variables via a single web interface. MARIS is not a “dataset” but rather links specific content of multiple states’ datasets. MARIS does not capture all of the information from a state’s aquatic dataset – only a subset of data collected as part of aquatic species sampling surveys. The MARIS structure was developed by a consortium of state fish and wildlife agencies and implemented through contracts with various universities. In the past,...
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Metadata specific to this state's data is not available. The MARIS Master metadata record can be accessed to help provide general data descriptions and guidance to users. MARIS is an internet-based information sharing network that allows multiple states to provide a common set of variables via a single web interface. MARIS is not a “dataset” but rather links specific content of multiple states’ datasets. MARIS does not capture all of the information from a state’s aquatic dataset – only a subset of data collected as part of aquatic species sampling surveys. The MARIS structure was developed by a consortium of state fish and wildlife agencies and implemented through contracts with various universities. In the past,...
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This file describes a set of outputs from the Sea Level Affecting Marshes Model (SLAMM), which consists of rasters containing SLAMM’s coastal cover categories (classes) for a study area on the Gulf of Mexico (U.S.) coast. The model was used to simulate the impact of sea level rise (SLR) on these coastal cover classes, with an emphasis on wetlands, for the “Evaluation of Regional SLAMM Results to Establish a Consistent Framework of Data and Models” project. The project was performed by Warren Pinnacle Consulting, Inc., and Image Matters LLC. The project was funded by the Gulf Coast Prairie Landscape Conservation Cooperative (LCC). A coordinated network of landscape conservation cooperatives (each an “LCC”) is being...
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This file describes a set of outputs from the Sea Level Affecting Marshes Model (SLAMM), which consists of rasters containing SLAMM’s coastal cover categories (classes) for a study area on the Gulf of Mexico (U.S.) coast. The model was used to simulate the impact of sea level rise (SLR) on these coastal cover classes, with an emphasis on wetlands, for the “Evaluation of Regional SLAMM Results to Establish a Consistent Framework of Data and Models” project. The project was performed by Warren Pinnacle Consulting, Inc., and Image Matters LLC. The project was funded by the Gulf Coast Prairie Landscape Conservation Cooperative (LCC). A coordinated network of landscape conservation cooperatives (each an “LCC”) is being...
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Defining the pre-European range of vegetation communities can enhance our understanding of the role soil, hydrology, and climate had on climax plant communities within southwest Louisiana. Coastal prairie grasslands were in a perpetual state of succession due to two primary disturbances; grazing, primarily by bison and other ungulates, and fires ignited by lightning and Native Americans. Along its borders, prairie vegetation blended into adjacent plant communities forming biologically diverse ecotones that may have fluctuated between a prairie, marsh, or forest dominated community as a result of variable conditions including climate cycles, disturbance and soil characteristics. Since European settlement, this landscape...
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This file describes a set of outputs from the Sea Level Affecting Marshes Model (SLAMM), which consists of rasters containing SLAMM’s coastal cover categories (classes) for a study area on the Gulf of Mexico (U.S.) coast. The model was used to simulate the impact of sea level rise (SLR) on these coastal cover classes, with an emphasis on wetlands, for the “Evaluation of Regional SLAMM Results to Establish a Consistent Framework of Data and Models” project. The project was performed by Warren Pinnacle Consulting, Inc., and Image Matters LLC. The project was funded by the Gulf Coast Prairie Landscape Conservation Cooperative (LCC). A coordinated network of landscape conservation cooperatives (each an “LCC”) is being...
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This dataset provides information on the current status and various other habitat and descriptive attributes of the native coastal vegetation for seven of the main Hawaiian Islands (i.e., does not include Ni`ihau).


map background search result map search result map Multistate Aquatic Resources Information System (MARIS) published 20131201 - Alabama fish sampling records 1953-2006 Multistate Aquatic Resources Information System (MARIS) published 20131201 - Indiana fish sampling records 1966-2008 Multistate Aquatic Resources Information System (MARIS) published 20141222 - Texas fish sampling records 1987-2013 Onshore Industrial Wind Turbine Locations for the United States to March 2014 Landscape Capability for Ruffed Grouse, CT River Watershed Landscape Capability for Eastern Meadowlark, CT River Watershed Columbia Basin Image of Sagebrush Types, Soil Regime Classes, and Fire Frequencies (1984-2013) GNLCC Jurisdictional Boundaries Contours, 10ft, Modoc NWR Appalachian LCC Landscape Conservation Design Phase 1 Local Build-outs WASSI Future Change in Water Supply Stress Index 1991-2010 ForWarn Mean Summer National Difference Vegetation Index 2009-2013 Amount of inflow stored in upstream dams-rivers Sea-Level Affecting Marshes Model 1.2m SLR - 2025 Index of Ecological Integrity, Stratified by Ecosystem, Region-wide, Version 3.2, Northeast U.S. Sea-Level Affecting Marshes Model 1.5m SLR - 2050 Sea-Level Affecting Marshes Model 2.0m SLR - 2075 Marsh Migration Zones, Northeast U.S. Hawaiian Islands Coastal Vegetation Survey 2013-2015 Soil, Geomorphology and Pre-European Settlement Vegetation Associations of Southwest Louisiana Contours, 10ft, Modoc NWR Soil, Geomorphology and Pre-European Settlement Vegetation Associations of Southwest Louisiana Columbia Basin Image of Sagebrush Types, Soil Regime Classes, and Fire Frequencies (1984-2013) Landscape Capability for Ruffed Grouse, CT River Watershed Landscape Capability for Eastern Meadowlark, CT River Watershed Hawaiian Islands Coastal Vegetation Survey 2013-2015 Multistate Aquatic Resources Information System (MARIS) published 20131201 - Alabama fish sampling records 1953-2006 Multistate Aquatic Resources Information System (MARIS) published 20141222 - Texas fish sampling records 1987-2013 Marsh Migration Zones, Northeast U.S. Sea-Level Affecting Marshes Model 1.2m SLR - 2025 Sea-Level Affecting Marshes Model 1.5m SLR - 2050 Sea-Level Affecting Marshes Model 2.0m SLR - 2075 WASSI Future Change in Water Supply Stress Index 1991-2010 Appalachian LCC Landscape Conservation Design Phase 1 Local Build-outs Amount of inflow stored in upstream dams-rivers ForWarn Mean Summer National Difference Vegetation Index 2009-2013 Index of Ecological Integrity, Stratified by Ecosystem, Region-wide, Version 3.2, Northeast U.S. GNLCC Jurisdictional Boundaries Multistate Aquatic Resources Information System (MARIS) published 20131201 - Indiana fish sampling records 1966-2008 Onshore Industrial Wind Turbine Locations for the United States to March 2014